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- Title
An Apriori Algorithm-Based Association Rule Analysis to Identify Herb Combinations for Treating Uremic Pruritus Using Chinese Herbal Bath Therapy.
- Authors
Lu, Ping-Hsun; Keng, Jui-Lin; Kuo, Ko-Li; Wang, Yu-Fang; Tai, Yu-Chih; Kuo, Chan-Yen
- Abstract
Uremic pruritus (UP) is prevalent among patients with end-stage renal disease (ESRD), which causes severe itching and affects their quality of life. Additionally, patients experience fatigue and depression, and an increased risk of mortality has also been reported. A meta-analysis of 17 randomized controlled trials (RCTs) has indicated that Chinese herbal bath therapy (CHBT) had adjuvant benefits in improving UP in ESRD patients, and previous studies have reported that herb combinations were more useful than treatment with a single herb. Association rule analysis has been used to evaluate potential correlations between herb combinations, and Apriori algorithms are one of the most powerful machine-learning algorithms available for identifying associations within databases. Therefore, we used the Apriori algorithm to analyze association rules of potential core herb combinations for use in CHBT for UP treatment using data from a meta-analysis of 17 RCTs that used CHBT for UP treatment. Data on 43 CHBT herbs were extracted from 17 RCTs included for analysis and we found 19 association rules. The results indicated that the following herb combinations {Chuanxiong, Baijili} ≥ {Dahuang} and {Dahuang, Baijili} ≥ {Chuanxiong} were most strongly associated, implying that these herb combinations represent potential CHBT treatments for UP.
- Subjects
TREATMENT of chronic kidney failure; CHRONIC kidney failure complications; ALGORITHMS; BATHS; COMBINATION drug therapy; HERBAL medicine; ITCHING; CHINESE medicine; META-analysis; QUALITY of life; UREMIA; DATA mining; RANDOMIZED controlled trials; THERAPEUTICS
- Publication
Evidence-based Complementary & Alternative Medicine (eCAM), 2020, p1
- ISSN
1741-427X
- Publication type
Article
- DOI
10.1155/2020/8854772